Determination of the Betacyanin and Betaxanthin Contents of Red Beet (Beta Vulgaris) Powder Using Partial Least Square Regression Based on Visible-Near Infrared Spectra
DOI:
https://doi.org/10.48048/tis.2024.7639Keywords:
Betacyanin, Betaxanthin, Red beet, Partial least square regression, Visible-Near Infrared, SpectroscopyAbstract
Red beet (Beta vulgaris) contains betalain, which comprises red-violet betacyanin and yellow betaxanthin with esthetic and health benefits. Betacyanin and betaxanthin are usually detected using common chemical analysis, which requires a long time, skilled analysts, and sample destruction. For fast and accurate measurement, this study utilized a portable low-cost Visible-Near Infrared Spectra (Vis-NIR) spectrometer at 350 - 1000 nm combined with partial least square regression to predict the betacyanin and betaxanthin contents of red beet powder. The best calibration models for betacyanin and betaxanthin had R2c of 0.89 and 0.919, respectively, and standard error of calibration SEC of 0.108 and 0.037 mg/g, respectively. The models were able to predict the contents of both pigments with R2p of 0.87, standard error of prediction SEP of 0.108 mg/g, and the ratio of prediction to deviation RPD of 2.52 for betacyanin and R2p of 0.84, SEP of 0.056 mg/g, and RPD of 2.47 for betaxanthin. When applied to external unknown data, the models predicted the contents of betacyanin and betaxanthin with R2 of 0.98 and root mean square error of 0.107 and 0.055 mg/g. Moreover, the predicted values were not significantly different at 95 % confidence.
HIGHLIGHTS
- Betacyanin and betaxanthin from red beet, were determined nondestructively using a portable Vis-NIR spectrometer, an affordable device for small food industries
- Betacyanin and betaxanthin regression coefficients showed peaks at 480 and 600 nm
- Betacyanin regression coefficients peak was also observed at 540 nm
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N Chhikara, K Kushwara, P Sharma, Y Gat and A Panghal. Bioactive compounds of beetroot and utilization in food processing industry: A critical review. Food Chem. 2019; 272, 192-200.
J Wruss, G Waldenberger, S Huemer, P Uygun, P Lanzerstorfer, U Muller, O Höglinger and J Weghuber. Compositional characteristics of commercial beetroot products and beetroot juice prepared from seven beetroot varieties grown in Upper Austria. J. Food Compos. Anal. 2015; 42, 46-55.
D Babarykin, G Smirnova, I Pundinsh, S Vasiljeva, G Krumina and V Agejchenko. Red beet (Beta vulgaris) impact on human health. J. Biosci. Med. 2019; 7, 61-79.
T Clifford, G Howatson, DJ West, EJ Stevenson and N Building. The potential benefits of red beetroot supplementation in health and disease. Nutrients 2015; 7, 2801-22.
HB Koubaier, A Snoussi, I Essaidi, MM Chaabouni, P Thonart and N Bouzouita. Betalain and phenolic compositions, antioxidant ctivity of Tunisian red teet (Beta vulgaris L . conditiva) roots and stems extracts. Int. J. Food Properties 2014; 17, 1934-45.
A Gengatharan, GA Dykes and WS Choo. Betalains: Natural plant pigments with potential application in functional foods. LWT Food Sci. Tech. 2015; 64, 645-9.
EFSA Panel on Food Additives and Nutrient Sources added to Food. Scientific opinion on the re-evaluation of beetroot red (E 162) as a food additive. EFSA J. 2015; 13, 4318.
N Mohammed, PS Ishwarya and P Nisha. Ice-cream as a model system to evaluate the food colorant functionality of red beet extract emulsion. J. Culinary Sci. Tech. 2023; 21, 960-80.
V Raikos, A McDonagh, V Ranawana and G Duthie. Processed beetroot (Beta vulgaris L.) as a natural antioxidant in mayonnaise: Effects on physical stability, texture and sensory attributes. Food Sci. Hum. Wellness 2016; 5, 191-8.
Y Fu, J Shi, SY Xie, TY Zhang, OP Soladoye and RE Aluko. Red beetroot betalains: Perspectives on extraction, processing, and potential health benefits. J Agr. Food Chem. 2020; 68, 11595-611.
AA Szopińska and M Gawęda. Comparison of yield and quality of red beet roots cultivated using conventional, integrated and organic method. J. Horticultural Res. 2013; 21, 107-14.
GA Cardoso-Ugarte, ME Sosa-Morales, T Ballard, A Liceaga and MFS Martín-González. Microwave-assisted extraction of betalains from red beet (Beta vulgaris). LWT Food Sci. Tech. 2014; 59, 276-82.
A Faridah, D Syukri and R Holinesti. Simple characterization of betalain compound from red pitaya (Hylocereus Polyrhizus) peel solution. Int. J. Adv. Sci. Eng. Inform. Tech. 2015; 5, 207-11.
AP Preczenhak, B Orsi, GPP Lima, JV Tezotto-Uliana, IO Minatel and RA Kluge. Cysteine enhances the content of betalains and polyphenols in fresh-cut red beet. Food Chem. 2019; 286, 600-7.
B Kusznierewicz, M Mróz, I Koss-Mikołajczyk and J Namieśnik. Comparative evaluation of different methods for determining phytochemicals and antioxidant activity in products containing betalains - Verification of beetroot samples. Food Chem. 2021; 362, 130132.
HZ Amanah, R Joshi, RE Masithoh, MG Choung, KH Kim, G Kim and C Byoung-Kwan. Nondestructive measurement of anthocyanin in intact soybean seed using Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) spectroscopy. Infrared Phys. Tech. 2020; 111, 103477.
CS Pappas, C Takidelli, E Tsantili, PA Tarantilis and MG Polissiou. Quantitative determination of anthocyanins in three sweet cherry varieties using diffuse reflectance infrared Fourier transform spectroscopy. J. Food Compos. Anal. 2011; 24, 17-21.
MRC Inácio, KMGD Lima, VG Lopes, JDC Pessoa and GHDA Teixeira. Total anthocyanin content determination in intact açaí (Euterpe oleracea Mart.) and palmitero-juçara (Euterpe edulis Mart.) fruit using near infrared spectroscopy (NIR) and multivariate calibration. Food Chem. 2013; 136, 1160-4.
HZ Amanah, C Wakholi, M Perez, MA Faqeerzada, SS Tunny, RE Masithoh, C Myoung-Gun, K Kyung-Hwan, L Wang-Hee and C Byoung-Kwan. Near-infrared hyperspectral imaging (NIR-HSI) for nondestructive prediction of anthocyanins content in black rice seeds. Appl Sci. 2021; 11, 4841.
Z Xiong, DW Sun, A Xie, H Pu, Z Han and M Luo. Quantitative determination of total pigments in red meats using hyperspectral imaging and multivariate analysis. Food Chem. 2015; 178, 339-45.
S Tilahun, DS Park, MH Seo, IG Hwang, SH Kim, HR Choi and CS Jeong. Prediction of lycopene and β-carotene in tomatoes by portable chroma-meter and VIS/NIR spectra. Postharvest Biol. Tech. 2018; 136, 50-6.
M Zude-sasse, I Truppel and B Herold. An approach to non-destructive apple fruit chlorophyll determination. Postharvest Biol. Tech. 2002; 25, 123-33.
MFR Pahlawan, BMA Murti and RE Masithoh. The potency of Vis/NIR spectroscopy for classification of soybean based of colour. IOP Conf. Ser. Earth Environ. Sci. 2022; 1018, 012015.
DAS Saputri, MFR Pahlawan, RE Masithoh and BMA Murti. Vis/NIR spectroscopy for non-destructive method in detecting soybean seeds viability. IOP Conf. Ser. Earth Environ. Sci. 2022; 1038, 012043.
RE Masithoh, HZ Amanah, WS Yoon, R Joshi and BK Cho. Determination of protein and glucose of tuber and root flours using NIR And MIR spectroscopy. Infrared Phys. Tech. 2021; 113, 103577.
RK Wati, MFR Pahlawan and RE Masithoh. Development of calibration model for pH content of intact tomatoes using a low-cost Vis/NIR spectroscopy. IOP Conf. Ser. Earth Environ. Sci. 2021; 686, 012049.
SV Gokhale and SS Lele. Betalain content and antioxidant activity of beta vulgaris: Effect of hot air convective drying and storage. J. Food Process. Preservation 2014; 38, 585-90.
P Ninfali and D Angelino. Nutritional and functional potential of Beta vulgaris cicla and rubra. Fitoterapia 2013; 89, 189-99.
MN Merzlyak, AE Solovchenko and AA Gitelson. Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit. Postharvest Biol. Tech. 2003; 27, 197-211.
EA Macavilca and L Condezo-Hoyos. Assessment of total antioxidant capacity of altiplano colored quinoa (Chenopodium quinoa willd) by visible and near-infrared diffuse reflectance spectroscopy and chemometrics. LWT 2020; 134, 110182.
RE Masithoh, MF Pahlawan and RK Wati. Non-destructive determination of SSC and pH of banana using a modular Vis/NIR spectroscopy: Comparison of Partial Least Square (PLS) and Principle Component Regression (PCR). IOP Conf. Ser. Earth Environ. Sci. 2021; 752, 012047.
J Liu, L Zhang and B Datt. Study on chlorophyll content in visible-near infrared spectroscopy. Int. J. Rem. Sens. 2021; 632, 2741-59.
RE Masithoh, HZ Amanah and BK Cho. Application of fourier transform near-infrared (FT-NIR) and fourier transform infrared (FT-IR) spectroscopy coupled with wavelength selection for fast discrimination of similar color of tuber flours. Indonesian J. Chem. 2020; 20, 680-7.
J Chandrasekhar, G Sonika, MC Madhusudhan and KSMS Raghavarao. Differential partitioning of betacyanins and betaxanthins employing aqueous two phase extraction. J. Food Eng. 2015; 144, 156-63.
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